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Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans

BACKGROUND: Proteomics of atypical phenotypes may help unravel cardiovascular disease mechanisms. AIM: We aimed to prospectively screen the proteome of four types of individuals: with or without coronary artery disease (CAD), each with or without multiple risk factors. Associations with individual r...

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Autores principales: Ferrannini, Ele, Manca, Maria Laura, Ferrannini, Giulia, Andreotti, Felicita, Andreini, Daniele, Latini, Roberto, Magnoni, Marco, Williams, Stephen A., Maseri, Attilio, Maggioni, Aldo P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855064/
https://www.ncbi.nlm.nih.gov/pubmed/35187107
http://dx.doi.org/10.3389/fcvm.2021.790289
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author Ferrannini, Ele
Manca, Maria Laura
Ferrannini, Giulia
Andreotti, Felicita
Andreini, Daniele
Latini, Roberto
Magnoni, Marco
Williams, Stephen A.
Maseri, Attilio
Maggioni, Aldo P.
author_facet Ferrannini, Ele
Manca, Maria Laura
Ferrannini, Giulia
Andreotti, Felicita
Andreini, Daniele
Latini, Roberto
Magnoni, Marco
Williams, Stephen A.
Maseri, Attilio
Maggioni, Aldo P.
author_sort Ferrannini, Ele
collection PubMed
description BACKGROUND: Proteomics of atypical phenotypes may help unravel cardiovascular disease mechanisms. AIM: We aimed to prospectively screen the proteome of four types of individuals: with or without coronary artery disease (CAD), each with or without multiple risk factors. Associations with individual risk factors and circulating biomarkers were also tested to provide a functional context to the protein hits. MATERIALS AND METHODS: The CAPIRE study (ClinicalTrials.gov Identifier: NCT02157662) is a cross-sectional study aimed at identifying possible new mechanisms promoting or protecting against atherothrombosis. Quantification (by aptamer technology), ranking (using partial least squares), and correlations (by multivariate regression) of ~5000 plasma proteins were performed in consecutive individuals aged 45–75 years, without previous cardiovascular disease, undergoing computed tomography angiography for suspected CAD, showing either >5/16 atherosclerotic segments (CAD(+)) or completely clean arteries (CAD(−)) and either ≤ 1 risk factor (RF(+)) or ≥3 risk factors (RF(−)) (based on history, blood pressure, glycemia, lipids, and smoking). RESULTS: Of 544 individuals, 39% were atypical (93 CAD(+)/RF(−); 120 CAD(−)/RF(+)) and 61% typical (102 CAD(+)/RF(+); 229 CAD(−)/RF(−)). In the comparison with CAD(+)/RF(−) adjusted for sex and age, CAD(−)/RF(+) was associated with increased atrial myosin regulatory light chain 2 (MYO) and C-C motif chemokine-22 (C-C-22), and reduced protein shisa-3 homolog (PS-3) and platelet-activating factor acetylhydrolase (PAF-AH). Extending the analysis to the entire cohort, an additional 8 proteins were independently associated with CAD or RF; by logistic regression, the 12-protein panel alone discriminated the four groups with AUC(ROC)'s of 0.72–0.81 (overall p = 1.0e(−38)). Among them, insulin-like growth factor binding protein-3 is positively associated with RF, lower BMI, and HDL-cholesterol, renin with CAD higher glycated hemoglobin HbA(1c), and smoking. CONCLUSIONS: In a CCTA-based cohort, four proteins, involved in opposing vascular processes (healing vs. adverse remodeling), are specifically associated with low CAD burden in high CV-risk individuals (high MYO and C-C-22) and high CAD burden in low-risk subjects (high PS-3 and PAF-AH), in interaction with BMI, smoking, diabetes, HDL-cholesterol, and HbA(1c). These findings could contribute to a deeper understanding of the atherosclerotic process beyond traditional risk profile assessment and potentially constitute new treatment targets.
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spelling pubmed-88550642022-02-19 Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans Ferrannini, Ele Manca, Maria Laura Ferrannini, Giulia Andreotti, Felicita Andreini, Daniele Latini, Roberto Magnoni, Marco Williams, Stephen A. Maseri, Attilio Maggioni, Aldo P. Front Cardiovasc Med Cardiovascular Medicine BACKGROUND: Proteomics of atypical phenotypes may help unravel cardiovascular disease mechanisms. AIM: We aimed to prospectively screen the proteome of four types of individuals: with or without coronary artery disease (CAD), each with or without multiple risk factors. Associations with individual risk factors and circulating biomarkers were also tested to provide a functional context to the protein hits. MATERIALS AND METHODS: The CAPIRE study (ClinicalTrials.gov Identifier: NCT02157662) is a cross-sectional study aimed at identifying possible new mechanisms promoting or protecting against atherothrombosis. Quantification (by aptamer technology), ranking (using partial least squares), and correlations (by multivariate regression) of ~5000 plasma proteins were performed in consecutive individuals aged 45–75 years, without previous cardiovascular disease, undergoing computed tomography angiography for suspected CAD, showing either >5/16 atherosclerotic segments (CAD(+)) or completely clean arteries (CAD(−)) and either ≤ 1 risk factor (RF(+)) or ≥3 risk factors (RF(−)) (based on history, blood pressure, glycemia, lipids, and smoking). RESULTS: Of 544 individuals, 39% were atypical (93 CAD(+)/RF(−); 120 CAD(−)/RF(+)) and 61% typical (102 CAD(+)/RF(+); 229 CAD(−)/RF(−)). In the comparison with CAD(+)/RF(−) adjusted for sex and age, CAD(−)/RF(+) was associated with increased atrial myosin regulatory light chain 2 (MYO) and C-C motif chemokine-22 (C-C-22), and reduced protein shisa-3 homolog (PS-3) and platelet-activating factor acetylhydrolase (PAF-AH). Extending the analysis to the entire cohort, an additional 8 proteins were independently associated with CAD or RF; by logistic regression, the 12-protein panel alone discriminated the four groups with AUC(ROC)'s of 0.72–0.81 (overall p = 1.0e(−38)). Among them, insulin-like growth factor binding protein-3 is positively associated with RF, lower BMI, and HDL-cholesterol, renin with CAD higher glycated hemoglobin HbA(1c), and smoking. CONCLUSIONS: In a CCTA-based cohort, four proteins, involved in opposing vascular processes (healing vs. adverse remodeling), are specifically associated with low CAD burden in high CV-risk individuals (high MYO and C-C-22) and high CAD burden in low-risk subjects (high PS-3 and PAF-AH), in interaction with BMI, smoking, diabetes, HDL-cholesterol, and HbA(1c). These findings could contribute to a deeper understanding of the atherosclerotic process beyond traditional risk profile assessment and potentially constitute new treatment targets. Frontiers Media S.A. 2022-02-04 /pmc/articles/PMC8855064/ /pubmed/35187107 http://dx.doi.org/10.3389/fcvm.2021.790289 Text en Copyright © 2022 Ferrannini, Manca, Ferrannini, Andreotti, Andreini, Latini, Magnoni, Williams, Maseri and Maggioni. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Ferrannini, Ele
Manca, Maria Laura
Ferrannini, Giulia
Andreotti, Felicita
Andreini, Daniele
Latini, Roberto
Magnoni, Marco
Williams, Stephen A.
Maseri, Attilio
Maggioni, Aldo P.
Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title_full Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title_fullStr Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title_full_unstemmed Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title_short Differential Proteomics of Cardiovascular Risk and Coronary Artery Disease in Humans
title_sort differential proteomics of cardiovascular risk and coronary artery disease in humans
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8855064/
https://www.ncbi.nlm.nih.gov/pubmed/35187107
http://dx.doi.org/10.3389/fcvm.2021.790289
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